Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analyzing German Parliamentary Speeches: A Machine Learning Approach for Topic and Sentiment Classification
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2508.03181.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-08T20:06:51.116097Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T20:15:34.398687Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 184df2e2-2cc2-44ee-bb45-2f7c50765de0 · inbound
Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments cites this paper.
Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments Analyzing German Parliamentary Speeches: A Machine Learning Approach for Topic and Sentiment Classification
Reference 45
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T20:15:34.399921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.